app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline("image-classification", "umm-maybe/AI-image-detector")

def image_classifier(image):
    outputs = pipe(image)
    results = {}
    for result in outputs:
        results[result['label']] = result['score']
    return results

title = "AI Generated Human Image Detector"
description = """
This demo detects whether a given human image is real or is generated by AI. 
Instruction: 
1. Select a sample image from the "Real" folder and Submit
2. Select a sample image from the "Fake" folder and Submit
"""

demo = gr.Interface(fn=image_classifier, inputs=gr.Image(type="pil"), outputs="label", title=title, description=description)
demo.launch(show_api=False)